scholarly journals We Need the Open Artefact: Design Science as a Pathway to Open Science in Information Systems Research

2019 ◽  
pp. 46-60
Author(s):  
Cathal Doyle ◽  
Markus Luczak-Roesch ◽  
Abhinav Mittal
Keyword(s):  
Information Systems ◽  
Design Science ◽  
Open Science ◽  
Systems Research ◽  
Information Systems Research

scholarly journals Introduction to the Minitrack on Open Science Practices in Information Systems Research

2022 ◽  
Author(s):  
Cathal Doyle ◽  
Markus Luczak-Roesch ◽  
Tadhg Nagle ◽  
Yi-Te Chiu
Keyword(s):  
Information Systems ◽  
Open Science ◽  
Science Practices ◽  
Systems Research ◽  
Information Systems Research

scholarly journals We Need the Open Artefact: Design Science as a Pathway to Open Science in Information Systems Research

2020 ◽  
Author(s):  
Cathal Doyle ◽  
Markus Luczak-Roesch ◽  
A Mittal
Keyword(s):  
Process Model ◽  
Design Science ◽  
Open Data ◽  
Science Research ◽  
Past Research ◽  
Open Science ◽  
Science Practices ◽  
Systems Research ◽  
Information Systems Research ◽  
Competitive Funding

© 2019, Springer Nature Switzerland AG. Design science research (DSR) is facing some significant challenges such as how to make the knowledge and artefacts we create more accessible; exclusion from competitive funding schemes that require open practices; and a potential reproducibility crisis if scholars do not have access to everything needed to repeat past research. To help tackle these challenges we suggest that the community should strongly engage with open science, which has been growing in prominence in other fields in recent years. A review of current DSR literature suggests that researchers have not yet discussed how open science practices can be adopted within the field. Thus, we propose how the concepts of open science, namely open access, open data, open source, and open peer review, can be mapped to a DSR process model. Further, we identify an emerging concept, the open artefact, which provides an opportunity to make artefacts more accessible to practice and scholars. The aim of this paper is to stimulate a discussion amongst researchers about these open science practices in DSR, and whether it is a necessary step forward to keep the pace of the changing academic environment.

The Research Pyramid: A Framework for Accounting Information Systems Research

1999 ◽  
Vol 13 (1) ◽  
pp. 7-30 ◽  
Author(s):  
Julie Smith David ◽  
Cheryl L. Dunn ◽  
William E. McCarthy ◽  
Robin S. Poston
Keyword(s):  
Information Systems ◽  
Design Science ◽  
Accounting Information ◽  
Field Studies ◽  
Science Field ◽  
Accounting Information Systems ◽  
Systems Research ◽  
Information Systems Research ◽  
Economic Reality ◽  
New Research

This paper extends Sowa's (1997) Meaning Triangle to develop a framework for accounting information systems (AIS) research—the Research Pyramid. This framework identifies relationships between objects in economic reality, people's concepts of economic reality, symbols used to record and represent economic reality, and the resultant accounting information systems that capture and present data about economic reality. The Research Pyramid has two major uses. First, the paper illustrates how the Research Pyramid can be used to identify new research questions to extend existing research streams. To be used in this manner, existing AIS research is classified along each of the edges of the Research Pyramid. Once an area of the literature has been analyzed, the edges that have not been studied extensively reveal potential primitive mappings for future exploration. Second, each primitive mapping is evaluated to identify which of four research methodologies (design science, field studies, survey research, and laboratory experiments) are likely techniques for use in future studies. This analysis can help researchers with strong methodological training to identify new, interesting questions to be answered that capitalize on their research strengths. As such, the Research Pyramid is a tool to characterize existing AIS research, identify areas for future exploration, and provide guidance on appropriate methodologies to apply.

scholarly journals We need the open artefact: Design Science as a pathway to Open Science in Information Systems research

2019 ◽  
Author(s):  
Cathal Doyle ◽  
Markus Luczak-Roesch ◽  
Abhinav Mittal
Keyword(s):  
Process Model ◽  
Design Science ◽  
Open Data ◽  
Science Research ◽  
Past Research ◽  
Open Science ◽  
Science Practices ◽  
Systems Research ◽  
Information Systems Research ◽  
Competitive Funding

Design science research is facing some significant challenges such as how to make the knowledge and artefacts we create more accessible; exclusion from competitive funding schemes that require open practices; and a potential reproducibility crisis if scholars do not have access to everything needed to repeat past research. To help tackle these challenges we suggest that the community should strongly engage with open science, which has been growing in prominence in other fields in recent years. A review of current DSR literature suggests that re-searchers have not yet discussed how open science practices can be adopted with-in the field. Thus, we propose how the concepts of open science, namely open access, open data, open source, and open peer review, can be mapped to a DSR process model. Further, we identify an emerging concept, the open artefact, which provides an opportunity to make artefacts more accessible to practice and scholars. The aim of this paper is to stimulate a discussion amongst researchers about these open science practices in DSR, and whether it is a necessary step forward to keep the pace of the changing academic environment. ....................................................................................................................................................................This paper is a preprint of a paper accepted at DESRIST 2019 (https://desrist2019.org/).

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